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Requisition Id 14394 Overview: We are seeking a High-Temperature Materials Processing Researcher. This position resides in the Surface Engineering and Tribology Group in the Materials Structure and Processing Section, Materials Science and Technology Division (MSTD), Physical Science...
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with a background in cognitive psychology, data science or computer science and a willingness to develop skills in computational models of cognitive processes, statistical methods, and programming (R
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economic studies funded by the UK National Institute for Health and Care Research. Experience of conducting economic evaluations using suitable statistical software (e.g. STATA, R or SAS) is essential
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a bachelor of pharmacy degree and a Ph.D. degree in pharmacy will be preferred. They should have a strong quantitative and qualitative background; experience in analysing epidemiological data using R
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area, have extensive experience in conducting model-based economic evaluations using suitable statistical software (e.g. R or Python) and the ability to work independently, prioritise your own workload
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contact: Matthew R. Tulis, MD Interim Chair, Department of Anesthesiology University of Maryland School of Medicine 22 S. Greene St, S11C00 Baltimore, MD 21201 Office phone: 410-328-9985 mtulis
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and statistical data analysis Excellent written and spoken English skills Experience with TMS and proficiency in relevant software (e.g., MATLAB, R, Python, or SPSS) is an advantage Key responsibilities
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tools (STATA, R, or Python). Assist in literature reviews and summarising academic research. Contribute to writing research papers and policy reports. Participate in meetings with collaborators and
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profile A completed PhD in psychology, educational measurement, statistics, or a related field Solid knowledge of psychometrics and experience with statistical software (e.g., R) Strong interest in
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landscapes using both proprietary and publicly available data sources Strong background in data analysis, preferably, proficiency with tools such as R. Experience with AI/ML-based approaches for data analysis